Triple

T5597316
Position Surface form Disambiguated ID Type / Status
Subject Operation Daybreak E147029 entity
Predicate cinematographyBy P1953 FINISHED
Object Henri Decaë E196330 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Henri Decaë | Statement: [Operation Daybreak, cinematographyBy, Henri Decaë]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henri Decaë
Context triple: [Operation Daybreak, cinematographyBy, Henri Decaë]
  • A. Henri Decaë chosen
    Henri Decaë was a renowned French cinematographer celebrated for his influential work on mid-20th-century European cinema, particularly within the French New Wave.
  • B. Henri Harpignies
    Henri Harpignies was a 19th-century French landscape painter known for his lyrical, atmospheric scenes and association with the Barbizon school.
  • C. Georges Masson
    Georges Masson was a French military officer who played a leading role in the Free French campaign in Gabon during World War II.
  • D. Hugues Doneau
    Hugues Doneau was a prominent 16th-century French jurist and humanist scholar known for his influential work in Roman law and legal humanism.
  • E. Henri Gauthier
    Henri Gauthier was a French Egyptologist known for his archaeological surveys and studies of ancient Egyptian sites and inscriptions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c009043d648190a7af89698ccf1e3e completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020c126088190914ef7b575d800e4 completed March 22, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16e69e9188190a4dd94c34657a74f completed March 23, 2026, 4:46 p.m.
Created at: March 22, 2026, 3:38 p.m.